Annual performance reviews are structurally broken — too infrequent, too subjective, and too late to change outcomes. AI fixes all three by enabling continuous feedback, bias-reduced assessments, and goal alignment grounded in real workforce data. These nine applications represent where AI delivers the most measurable lift in performance management today.

Reactive retention is a losing strategy. By the time an employee accepts a competing offer, the signals that predicted their departure were visible weeks earlier - buried in engagement scores, stalled promotion timelines, and compensation data across disconnected systems. AI attrition prediction surfaces those signals in time to act. This 7-step playbook covers the sequence HR leaders use to build, deploy, and sustain predictive attrition models - from defining objectives and building the data pipeline through model selection, validation, score distribution, and intervention library design.